Napoleon Torrès

2.5k total citations
54 papers, 1.5k citations indexed

About

Napoleon Torrès is a scholar working on Cellular and Molecular Neuroscience, Neurology and Cognitive Neuroscience. According to data from OpenAlex, Napoleon Torrès has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cellular and Molecular Neuroscience, 28 papers in Neurology and 17 papers in Cognitive Neuroscience. Recurrent topics in Napoleon Torrès's work include Neurological disorders and treatments (25 papers), Neuroscience and Neural Engineering (17 papers) and Photoreceptor and optogenetics research (15 papers). Napoleon Torrès is often cited by papers focused on Neurological disorders and treatments (25 papers), Neuroscience and Neural Engineering (17 papers) and Photoreceptor and optogenetics research (15 papers). Napoleon Torrès collaborates with scholars based in France, Australia and United States. Napoleon Torrès's co-authors include John Mitrofanis, Alim Louis Benabid, Cécile Moro, Alim‐Louis Benabid, Daniel M. Johnstone, Jonathan Stone, Nabil El Massri, Stéphan Chabardès, C. Chabrol and Brigitte Piallat and has published in prestigious journals such as Brain, Annals of Neurology and Scientific Reports.

In The Last Decade

Napoleon Torrès

48 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Napoleon Torrès France 24 760 679 598 284 239 54 1.5k
Brian H. Kopell United States 23 626 0.8× 1.3k 1.9× 173 0.3× 318 1.1× 463 1.9× 71 1.9k
Albert J. Fenoy United States 24 582 0.8× 1.1k 1.7× 169 0.3× 375 1.3× 408 1.7× 44 1.7k
Masahito Mihara Japan 20 322 0.4× 384 0.6× 610 1.0× 668 2.4× 249 1.0× 50 1.8k
Ausaf Bari United States 19 869 1.1× 441 0.6× 154 0.3× 483 1.7× 140 0.6× 54 1.7k
Clemens Neudorfer Germany 19 312 0.4× 562 0.8× 255 0.4× 243 0.9× 202 0.8× 46 1.1k
Yongjie Li China 20 528 0.7× 853 1.3× 167 0.3× 401 1.4× 335 1.4× 127 1.7k
Xu‐Yun Hua China 19 254 0.3× 262 0.4× 271 0.5× 359 1.3× 332 1.4× 121 1.2k
Martina Minnerop Germany 25 916 1.2× 768 1.1× 217 0.4× 217 0.8× 225 0.9× 62 1.6k
K. Jürgen Germany 15 471 0.6× 416 0.6× 172 0.3× 550 1.9× 170 0.7× 26 1.5k
Darrin J. Lee United States 24 746 1.0× 912 1.3× 133 0.2× 560 2.0× 320 1.3× 80 1.8k

Countries citing papers authored by Napoleon Torrès

Since Specialization
Citations

This map shows the geographic impact of Napoleon Torrès's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Napoleon Torrès with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Napoleon Torrès more than expected).

Fields of papers citing papers by Napoleon Torrès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Napoleon Torrès. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Napoleon Torrès. The network helps show where Napoleon Torrès may publish in the future.

Co-authorship network of co-authors of Napoleon Torrès

This figure shows the co-authorship network connecting the top 25 collaborators of Napoleon Torrès. A scholar is included among the top collaborators of Napoleon Torrès based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Napoleon Torrès. Napoleon Torrès is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Mourier, Véronique, et al.. (2024). Exploring Acoustic Detection of α-Synuclein Fibrils. The Protein Journal. 44(1). 62–67.
3.
Chabardès, Stéphan, Annaelle Devergnas, Caroline Benstaali, et al.. (2023). Excessive daytime sleepiness in a model of Parkinson’s disease improved by low-frequency stimulation of the pedunculopontine nucleus. npj Parkinson s Disease. 9(1). 9–9. 9 indexed citations
4.
Chabardès, Stéphan, Hayat Belaïd, Daniel Fagret, et al.. (2022). Early onset of sleep/wake disturbances in a progressive macaque model of Parkinson’s disease. Scientific Reports. 12(1). 17499–17499. 12 indexed citations
5.
Mitrofanis, John, Napoleon Torrès, & Stéphan Chabardès. (2022). Lights for epilepsy: can photobiomodulation reduce seizures and offer neuroprotection?. Neural Regeneration Research. 18(7). 1423–1423. 5 indexed citations
6.
Johnstone, Daniel M., Catherine Hamilton‐Giachritsis, Cécile Moro, et al.. (2021). Exploring the Use of Intracranial and Extracranial (Remote) Photobiomodulation Devices in Parkinson’s Disease: A Comparison of Direct and Indirect Systemic Stimulations. Journal of Alzheimer s Disease. 83(4). 1399–1413. 26 indexed citations
7.
Torrès, Napoleon, David Ratel, Pascal Mailley, et al.. (2019). Evaluation of chronically implanted subdural boron doped diamond/CNT recording electrodes in miniature swine brain. Bioelectrochemistry. 129. 79–89. 9 indexed citations
8.
Sauter-Starace, Fabien, David Ratel, Thomas Costecalde, et al.. (2019). Long-Term Sheep Implantation of WIMAGINE®, a Wireless 64-Channel Electrocorticogram Recorder. Frontiers in Neuroscience. 13. 847–847. 18 indexed citations
9.
Goetz, Laurent, Manik Bhattacharjee, Murielle Ferraye, et al.. (2018). Deep Brain Stimulation of the Pedunculopontine Nucleus Area in Parkinson Disease: MRI-Based Anatomoclinical Correlations and Optimal Target. Neurosurgery. 84(2). 506–518. 51 indexed citations
10.
Costecalde, Thomas, Tetiana Aksenova, Napoleon Torrès, et al.. (2017). A Long-Term BCI Study With ECoG Recordings in Freely Moving Rats. Neuromodulation Technology at the Neural Interface. 21(2). 149–159. 11 indexed citations
11.
Moro, Cécile, Nabil El Massri, Fannie Darlot, et al.. (2016). Effects of a higher dose of near-infrared light on clinical signs and neuroprotection in a monkey model of Parkinson's disease. Brain Research. 1648(Pt A). 19–26. 25 indexed citations
12.
Darlot, Fannie, Cécile Moro, Nabil El Massri, et al.. (2015). Near‐infrared light is neuroprotective in a monkey model of Parkinson disease. Annals of Neurology. 79(1). 59–75. 83 indexed citations
13.
14.
Reinhart, Florian, Nabil El Massri, Fannie Darlot, et al.. (2014). 810nm near-infrared light offers neuroprotection and improves locomotor activity in MPTP-treated mice. Neuroscience Research. 92. 86–90. 55 indexed citations
15.
Devergnas, Annaelle, Brigitte Piallat, Napoleon Torrès, et al.. (2012). The subcortical hidden side of focal motor seizures: evidence from micro-recordings and local field potentials. Brain. 135(7). 2263–2276. 38 indexed citations
16.
Benabid, Alim Louis, Thomas Costecalde, Napoleon Torrès, et al.. (2011). Deep brain stimulation. Progress in brain research. 194. 71–82. 15 indexed citations
17.
Benabid, Alim Louis & Napoleon Torrès. (2011). New targets for DBS. Parkinsonism & Related Disorders. 18. S21–S23. 48 indexed citations
18.
Piallat, Brigitte, Mircea Polosan, Valérie Fraix, et al.. (2010). Subthalamic neuronal firing in obsessive‐compulsive disorder and Parkinson disease. Annals of Neurology. 69(5). 793–802. 50 indexed citations
19.
Benabid, Alim Louis, Stéphan Chabardès, Napoleon Torrès, et al.. (2009). Functional neurosurgery for movement disorders: a historical perspective. Progress in brain research. 175. 379–391. 60 indexed citations
20.
Chabardès, Stéphan, Lorella Minotti, Serge Chassagnon, et al.. (2008). La stimulation cérébrale profonde des ganglions de la base comme traitement des épilepsies pharmacorésistantes : revue et données actuelles. Neurochirurgie. 54(3). 436–440. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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